Animating animal motion from still

Xuemiao Xu; Liang Wan; Xiaopei Liu; Tien-Tsin Wong; Liansheng Wang; Chi-Sing Leung

doi:10.1145/1457515.1409070

Animating animal motion from still

Xuemiao Xu
, Liang Wan
, Xiaopei Liu
, Tien-Tsin Wong
, Liansheng Wang
, Chi-Sing Leung

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

13 Citations (Scopus)

Abstract

Even though the temporal information is lost, a still picture of moving animals hints at their motion. In this paper, we infer motion cycle of animals from the.motion snapshots. (snapshots of different individuals) captured in a still picture. By finding the motion path in the graph connecting motion snapshots, we can infer the order of motion snapshots with respect to time, and hence the motion cycle. Both.half-cycle. and.full-cycle. motions can be inferred in a unified manner. Therefore, we can animate a still picture of a moving animal group by morphing among the ordered snapshots. By re- fining the pose, morphology, and appearance consistencies, smooth and realistic animal motion can be synthesized. Our results demonstrate the applicability of the proposed method to a wide range of species, including birds, fishes, mammals, and reptiles. © 2008 ACM.

Original language	English
Title of host publication	SIGGRAPH Asia '08: ACM SIGGRAPH Asia 2008 papers
Editors	John C. Hart
Publisher	Association for Computing Machinery
ISBN (Print)	9781450318310
DOIs	https://doi.org/10.1145/1457515.1409070
Publication status	Published - Dec 2008
Event	ACM SIGGRAPH Asia 2008 (SIGGRAPH Asia '08) - , Singapore Duration: 10 Dec 2008 → 13 Dec 2008

Conference

Conference	ACM SIGGRAPH Asia 2008 (SIGGRAPH Asia '08)
Place	Singapore
Period	10/12/08 → 13/12/08

Bibliographical note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

This is a reprint of: Xu, X., Wan, L., Liu, X., Wong, T.-T., Wang, L., & Leung, C.-S. (2008). Animating animal motion from still. ACM Transactions on Graphics, 27(5), Article 117. https://doi.org/10.1145/1409060.1409070

Research Keywords

Animal group
Consistency refinement
Motion cycle
Motion inference
Still picture

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title = "Animating animal motion from still",

abstract = "Even though the temporal information is lost, a still picture of moving animals hints at their motion. In this paper, we infer motion cycle of animals from the.motion snapshots. (snapshots of different individuals) captured in a still picture. By finding the motion path in the graph connecting motion snapshots, we can infer the order of motion snapshots with respect to time, and hence the motion cycle. Both.half-cycle. and.full-cycle. motions can be inferred in a unified manner. Therefore, we can animate a still picture of a moving animal group by morphing among the ordered snapshots. By re- fining the pose, morphology, and appearance consistencies, smooth and realistic animal motion can be synthesized. Our results demonstrate the applicability of the proposed method to a wide range of species, including birds, fishes, mammals, and reptiles. {\textcopyright} 2008 ACM.",

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author = "Xuemiao Xu and Liang Wan and Xiaopei Liu and Tien-Tsin Wong and Liansheng Wang and Chi-Sing Leung",

note = "Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s). This is a reprint of: Xu, X., Wan, L., Liu, X., Wong, T.-T., Wang, L., \& Leung, C.-S. (2008). Animating animal motion from still. ACM Transactions on Graphics, 27(5), Article 117. https://doi.org/10.1145/1409060.1409070; ACM SIGGRAPH Asia 2008 (SIGGRAPH Asia '08) ; Conference date: 10-12-2008 Through 13-12-2008",

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AU - Xu, Xuemiao

AU - Wan, Liang

AU - Liu, Xiaopei

AU - Wong, Tien-Tsin

AU - Wang, Liansheng

AU - Leung, Chi-Sing

N1 - Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s). This is a reprint of: Xu, X., Wan, L., Liu, X., Wong, T.-T., Wang, L., & Leung, C.-S. (2008). Animating animal motion from still. ACM Transactions on Graphics, 27(5), Article 117. https://doi.org/10.1145/1409060.1409070

PY - 2008/12

Y1 - 2008/12

N2 - Even though the temporal information is lost, a still picture of moving animals hints at their motion. In this paper, we infer motion cycle of animals from the.motion snapshots. (snapshots of different individuals) captured in a still picture. By finding the motion path in the graph connecting motion snapshots, we can infer the order of motion snapshots with respect to time, and hence the motion cycle. Both.half-cycle. and.full-cycle. motions can be inferred in a unified manner. Therefore, we can animate a still picture of a moving animal group by morphing among the ordered snapshots. By re- fining the pose, morphology, and appearance consistencies, smooth and realistic animal motion can be synthesized. Our results demonstrate the applicability of the proposed method to a wide range of species, including birds, fishes, mammals, and reptiles. © 2008 ACM.

AB - Even though the temporal information is lost, a still picture of moving animals hints at their motion. In this paper, we infer motion cycle of animals from the.motion snapshots. (snapshots of different individuals) captured in a still picture. By finding the motion path in the graph connecting motion snapshots, we can infer the order of motion snapshots with respect to time, and hence the motion cycle. Both.half-cycle. and.full-cycle. motions can be inferred in a unified manner. Therefore, we can animate a still picture of a moving animal group by morphing among the ordered snapshots. By re- fining the pose, morphology, and appearance consistencies, smooth and realistic animal motion can be synthesized. Our results demonstrate the applicability of the proposed method to a wide range of species, including birds, fishes, mammals, and reptiles. © 2008 ACM.

KW - Animal group

KW - Consistency refinement

KW - Motion cycle

KW - Motion inference

KW - Still picture

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U2 - 10.1145/1457515.1409070

DO - 10.1145/1457515.1409070

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781450318310

BT - SIGGRAPH Asia '08: ACM SIGGRAPH Asia 2008 papers

A2 - Hart, John C.

PB - Association for Computing Machinery

T2 - ACM SIGGRAPH Asia 2008 (SIGGRAPH Asia '08)

Y2 - 10 December 2008 through 13 December 2008

ER -

Animating animal motion from still

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Research Keywords

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